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September 10, 2025Discover OncologyOpen Access

Towards non-invasive diagnosis of glioblastoma: identifying metabolic biomarkers in liquid biopsies using a ROC-based approach

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MGMargareth Borges Coutinho Gallo

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Overview

This analysis identifies key metabolites with high diagnostic accuracy for glioblastoma, suggesting implications for tumor biology and clinical practice.

Key Points

  • A panel of 21 metabolites was curated to enhance diagnostic precision in glioblastoma diagnosis, promoting clinical decision-making.
  • Metabolomics offers insights beyond traditional histological criteria, pointing to significant metabolic alterations in glioblastoma.
  • This study highlights the underrepresentation of metabolic dimensions in WHO guidelines for glioblastoma classification.
  • The findings could reshape our understanding of metabolic traits shared between cancer and schizophrenia, advocating for multidisciplinary exploration.

Cite This Study

Margareth Borges Coutinho Gallo (2025) studied this question.

synapsesocial.com/papers/68c23fc3b210217d6479787ehttps://doi.org/10.1007/s12672-025-03310-8
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